Find Spotify Mid-Level Software Engineer software engineering jobs

A global music and audio streaming platform delivering personalized content to millions of users worldwide.

Spotify's Experience team is seeking a Machine Learning Engineer to join their Content Understanding teams, focusing on enriching the lives of millions of users worldwide through advanced ML solutions. The role involves working on cutting-edge projects like audio fingerprinting for podcast music recognition, video/image tagging for moderation and recommendations, audiobook author attribution using graph ML, and content categorization for royalty calculations.

The position offers an opportunity to work with a diverse team of professionals averaging 11 years of music industry experience, including product specialists, ML engineers, data engineers, and backend developers. You'll be at the forefront of expanding Spotify's AI capabilities, using world-class engineering and machine learning techniques on real-world big data.

The role combines hands-on ML development with practical implementation at scale, serving hundreds of millions of active users. You'll be involved in everything from prototyping new approaches to production deployment, working in a collaborative, agile environment alongside design, data science, product management, and engineering teams.

Key projects include developing audio fingerprinting systems for podcast music recognition (ensuring proper royalty distribution), implementing video and image tagging for content moderation, creating graph ML approaches for audiobook author attribution, and building classification systems for catalog content management.

The position offers competitive compensation, comprehensive benefits, and the opportunity to work with a global leader in audio streaming technology. Based in New York City, you'll be part of a team that's pushing the boundaries of AI-based machine technology to enhance the Spotify experience for users worldwide.

Machine Learning Engineer role at Spotify focusing on content understanding, audio fingerprinting, and ML systems at scale.

Machine Learning Engineer - Content Understanding

A global music and audio streaming platform serving millions of users worldwide.

Spotify is seeking a Machine Learning Engineer to join their Content Understanding teams, focusing on building and deploying ML solutions at scale. The role involves working on cutting-edge projects like audio fingerprinting for podcast music recognition, video/image tagging for moderation and recommendations, audiobook author attribution using graph ML, and content categorization for royalty calculations.

The position sits within the Experience team, which is dedicated to delivering the best Spotify experience to millions of users worldwide. You'll be part of a diverse team averaging 11 years of music industry experience, including product managers, ML engineers, data engineers, and backend engineers.

As an ML Engineer, you'll work on production systems that directly impact user experience, prototype new approaches, and scale solutions for hundreds of millions of active users. The role requires expertise in applied machine learning, strong programming skills (especially Python), and experience with cloud platforms and data pipelines.

You'll collaborate with cross-functional teams spanning design, data science, product management, and engineering to build innovative features. The position offers the opportunity to work on real-world problems using state-of-the-art AI technology, directly influencing how users interact with Spotify's vast music catalog.

The role is based in London with a hybrid work arrangement, offering the flexibility to balance office and remote work while being part of a global team pushing the boundaries of music technology and user experience.

Machine Learning Engineer position at Spotify focused on content understanding, audio fingerprinting, and ML systems at scale.

Leading music and podcast streaming platform building creator tools and technologies.

Spotify's Podcast Mission team is seeking a Backend Engineer to join their innovative group focused on building best-in-class tools for podcast creators. This role is integral to expanding Megaphone, Spotify's enterprise podcasting solution, through critical integrations with broader Spotify technology. You'll be working with modern technologies like Kubernetes, Ruby on Rails, and Java to develop enterprise-grade backend services.

The position offers the flexibility of remote work within EST, CST, and PST time zones, with competitive compensation including a base salary range of $122,716 - $175,308 plus equity. The comprehensive benefits package includes health insurance, generous parental leave, retirement plans, and ample paid time off.

As a Backend Engineer, you'll be at the forefront of unifying Spotify's creator technologies, working on solutions that empower podcasters to host, create, distribute their content, and monetize their art. The role requires 2+ years of experience with Ruby on Rails or Java, and you'll be part of a collaborative team that's shaping the future of podcast creation and distribution.

The ideal candidate will bring not only technical expertise but also a genuine interest in the podcast industry and a drive to solve creators' challenges. You'll be working with a diverse tech stack and will have the opportunity to contribute to projects that directly impact millions of podcast creators and listeners worldwide.

Join Spotify's mission to build the world's leading podcast creator platform, where your technical skills will help shape the future of digital audio content creation and distribution.

Backend Engineer position at Spotify focusing on podcast creator tools and platform development, offering remote work and competitive compensation.

Backend Engineer - Podcast

Spotify is a global music and podcast streaming platform developing tools for podcast creators.

Spotify's Podcast Mission team is seeking a Backend Engineer to join their innovative product and technology team dedicated to building tools for podcast creators. This role offers an exciting opportunity to work on sophisticated publishing platform challenges while developing and maintaining Ruby on Rails applications and Java microservices. You'll be part of a team that enables podcasters to host, build, distribute, monetize, and grow their podcasts through various content management capabilities.

The position offers competitive compensation ranging from $122,716 to $175,308 plus equity, along with comprehensive benefits including health insurance, generous parental leave, and flexible time off. Working remotely within the EST timezone, you'll collaborate with cross-functional teams to solve complex technical challenges and create outstanding creator experiences.

The ideal candidate should be proficient in Ruby on Rails and Java microservices, with a passion for end-to-end user experiences and software architecture. You'll have the opportunity to work on impactful projects, from frontend to backend development, while maintaining high coding standards and embracing best practices.

This role is perfect for someone who values collaboration, understands business impact, and can balance technical complexity with practical solutions. You'll be part of Spotify's mission to revolutionize the podcast creator experience, working with a team that's dedicated to building tools that help podcasters understand and engage with their audience effectively.

Backend Engineer position at Spotify focusing on podcast creator tools development using Ruby on Rails and Java microservices.

A global audio streaming platform revolutionizing the audiobook industry through their Premium model.

Spotify is revolutionizing the audiobook industry through their innovative Audiobooks in Premium model, seeking a Backend Engineer to join their dynamic team. This role focuses on building and optimizing the systems that power Spotify's audiobook content delivery platform. You'll be instrumental in designing scalable architectures, ensuring seamless content integration, and maintaining high-performance systems that serve millions of users.

The position offers an exciting opportunity to work with cutting-edge technologies while solving complex challenges in content delivery and metadata management. You'll be part of a team that's building the future of audio content consumption, working with modern tech stack including Java, Python, and Node.js, along with cloud platforms and containerization tools.

As a Backend Engineer, you'll take ownership of critical systems, contribute to technical documentation, and collaborate with cross-functional teams to deliver innovative features. The role combines technical expertise with strategic thinking, as you'll be responsible for both immediate system optimization and long-term scalability planning.

Spotify offers a competitive compensation package, including equity, comprehensive health benefits, and generous paid time off. The company embraces a distributed workforce model, providing flexibility in work location and schedule while maintaining collaboration through Eastern Standard time zone operations. This is an excellent opportunity for engineers who are passionate about building high-quality systems at scale and want to be part of transforming the audiobook industry.

Backend Engineer position at Spotify focused on building and optimizing audiobook content delivery systems, offering competitive salary and remote work flexibility.

Backend Engineer, Audiobooks

Global music and audio streaming platform transforming the digital music industry.

Spotify is seeking a Backend Engineer to join their Subscriptions R&D team within the Commerce Platform. This role focuses on developing core capabilities managing multiple backend services and data sets that power Invoicing, Receipts, Payment Orchestration, and purchase flows end-to-end. The position offers an excellent opportunity for both early-career engineers and experienced professionals looking for new challenges.

The role involves working with complex systems at high scale, implementing changes that impact Spotify's commerce ecosystem. You'll be part of a team responsible for developing services and data pipelines aimed at improving capabilities and providing a resilient, high-performing commerce platform. The position requires expertise in Python or Java, familiarity with cloud platforms, and database technologies.

Working in a collaborative environment, you'll interact with teams across Spotify, contributing to the platform's evolution while gaining exposure to backend, data, and ML-based systems. The role demands strong problem-solving abilities, excellent communication skills, and a dedication to teamwork. Experience in e-commerce or financial engineering domains is valuable but not mandatory.

Based in either London or Stockholm, you'll be part of Spotify's innovative engineering culture, working on solutions that impact millions of users worldwide. This position offers the perfect blend of technical challenges and professional growth opportunities, allowing you to contribute to one of the world's leading music and audio streaming platforms while developing your expertise in complex backend systems and commerce technologies.

Backend Engineer position at Spotify focusing on subscriptions and commerce platform development, offering hybrid work in London or Stockholm.

Backend Engineer - Subscriptions

A global music and audio streaming platform providing digital music, podcast and video services.

Join Spotify's Observability and Reliability Infrastructure team as a Backend Engineer II, where you'll be instrumental in building and maintaining their large-scale, distributed systems. This role focuses on providing coherent observability and reliability platforms for Spotify's microservice infrastructure, enabling teams to confidently operate their services.

As a Backend Engineer II, you'll work in an environment that values intellectual curiosity and problem-solving, with the support and mentorship needed to learn and grow. You'll be responsible for architecting, developing, and operating Java services, while also being a technical leader within Spotify's backend developer community.

The position offers exciting challenges in scaling and optimizing systems through automation, working with modern technologies like Kubernetes, Go, and various cloud services. You'll be part of a team that values sustainable incident response and blameless postmortems, contributing to Spotify's mission of delivering media worldwide.

Located in Toronto, this hybrid role provides an opportunity to work with a global team while maintaining work-life balance. You'll participate in regular hack days and bi-annual hack weeks, allowing you to explore innovative solutions and contribute to Spotify's technical evolution.

The ideal candidate combines strong technical expertise in distributed systems, Java development, and cloud services with excellent problem-solving and communication skills. If you're passionate about building reliable, scalable systems and want to impact how millions of users experience music and audio content, this role offers an exciting opportunity to shape the future of Spotify's infrastructure.

Backend Engineer II position at Spotify focusing on building and maintaining observability and reliability infrastructure for large-scale distributed systems.

Backend Engineer II - Platform

Spotify is a leading music and audio streaming platform.

We are looking for a Backend Engineer to join our Data Protection team and be a key player in ensuring that data at Spotify is appropriately protected. You will contribute to building a scalable data protection platform that ensures data across Spotify is appropriately protected, managed, and deleted when no longer needed. This is a highly impactful role where you'll develop systems that empower engineers across the company to efficiently deliver secure, reliable, and compliant solutions.

You'll design, build, and optimise backend services and data pipelines that support data retention, access, and deletion requirements, ensuring Spotify meets evolving privacy and regulatory standards. Collaborate with cross-functional teams to tackle challenging problems and implement solutions that scale to meet the needs of the entire organisation.

What You'll Do:
- Design, develop, and maintain backend services and data pipelines that enable the safe use of data across the company.
- Collaborate closely with globally distributed teams to implement solutions that scale to handle millions of requests per second.
- Utilise technologies such as Java, Scala, microservices, Google Cloud Platform (GCP), Dataflow, and Spanner.
- Participate in the operational responsibility for services, including being part of an on-call rotation for critical service at Spotify.
- Drive automation efforts to improve system efficiency, reliability, and scalability.
- Drive the optimization, testing, and tooling efforts to improve the quality of data and systems.
- Contribute to a culture of continuous learning, experimentation, and adopting new technologies.

Who You Are:
- You have at least two years professional experience working in a product-driven environment building production software.
- You know how to write distributed, high-volume services and have strong programming skills in Java and/or Scala.
- Experience with cloud platforms, particularly Google Cloud Platform (GCP), including services like Dataflow, GCS, BigQuery and Spanner.
- Ability to work optimally in a remote-first, distributed team environment.
- A track record of designing and driving small to medium-scale automation projects autonomously.

Where You'll Be:
- For this role you will be in London or Madrid

Backend Engineer for Spotify's Data Protection team, building scalable platforms to ensure data security and compliance.

Backend Engineer - Platform

Spotify is a leading music and podcast streaming platform with hundreds of millions of users.

Spotify, the leading music and podcast streaming platform, is seeking a dedicated and passionate mid-level iOS Engineer to join their Core Experience team in London. As part of this impactful team, you'll work on critical projects for the home screen of the mobile app, which is visited by hundreds of millions of users daily.

In this role, you'll be responsible for building, maintaining, and improving UI components that directly impact user experience. You'll have the opportunity to work with friendly and supportive team members, bringing your unique expertise and style to challenging, high-priority projects that require cross-team collaboration.

Key responsibilities include running features from inception to rollout, collaborating with the Experimentation Platform for A/B testing, managing complex projects alongside staff engineers, and mentoring team members. The ideal candidate should be proficient in Swift, have experience with various iOS frameworks, and possess strong communication skills.

Spotify offers a dynamic work environment where you can make a significant impact on a product used by millions. This hybrid role, based in London, provides an excellent opportunity for growth and learning in a fast-paced, innovative tech company. If you're passionate about iOS development, value quality code, and thrive in collaborative environments, this could be the perfect next step in your career.

Join Spotify as an iOS Engineer II in London, working on core user experiences for millions of users worldwide.

iOS Engineer II, Core Experience

Spotify is a leading audio streaming platform connecting artists and fans through personalized experiences.

We're looking for a Machine Learning Engineer II to join our team focusing on messaging optimization. Through our messaging platform, we communicate with users to connect them with valuable audio content and to help the business grow. The team's vision is to build the machine learning models and infrastructure that offers a fully personalized and ML-optimized experience for listeners throughout their user journey that powers every messaging and conversion campaign at Spotify. Our team is a combination of Machine Learning Engineers, Data Engineers, Backend Engineers and Data Scientists.

**What You'll Do:**
- Contribute to designing, building, evaluating, shipping, and refining Spotify's product by hands-on ML development.
- Collaborate with a multi-functional agile team spanning user research, design, data science, product management, and engineering to build new product features that advance our mission to connect artists and fans in personalized and relevant ways.
- Prototype new approaches and productionize solutions at scale for our hundreds of millions of active users.
- Help drive optimisation, testing, and tooling to improve quality.
- Be part of an active group of machine learning practitioners in your mission and across Spotify.

**Who You Are:**
- You have a strong background in machine learning, theory, and practice.
- You are comfortable explaining the intuition and assumptions behind ML concepts, experience in the messaging space is a plus.
- You have hands-on experience implementing and maintaining production ML systems in Python, Scala and using libraries like Tensorflow or PyTorch.
- You are experienced with building data pipelines, and you are self-sufficient in getting the data you need to build and evaluate your models.
- You preferably have experience with cloud platforms like GCP or AWS.

**Where You'll Be:**
- For this role you will be based in London.

Join Spotify as a Machine Learning Engineer II to optimize messaging and create personalized user experiences.

Machine Learning Engineer II, Messaging Optimization

Spotify is a global music streaming platform expanding its premium offerings and ads business.

Spotify's Financial Engineering team is pivotal in supporting Spotify's ambitious goal to expand its premium offerings and ads business. By crafting trusted and insightful financial data, our team ensures that Spotify makes data-driven decisions that fuel our global growth strategies.

As a Data Engineer in the Financial Engineering team, you will play a meaningful role in curating, producing, and managing core financial data products. These high-quality datasets, derived from ads, content, subscriptions, and partnerships, enable crucial initiatives such as experimentation, forecasting, financial reporting, and financial planning. You will also be instrumental in building a great foundation for our trusted data layer and understanding its distribution channels to better serve our consumers' needs.

Your responsibilities will include:
- Developing a deep understanding of how our financial data is used by different consumer bases, tailoring our core data products to meet diverse needs
- Building sources of truth for financial transactions and enriching business decisions with foundational financial context
- Designing, prototyping, and building data pipelines that process billions of data points
- Advocating for and implementing standard processes around data quality and engineering
- Applying product thinking to data: managing the data product lifecycle from sourcing to documentation and exposition, always prioritizing consumers' success and experience
- Partnering with engineers, data scientists, finance and business teams to build flexible and intuitive data products supporting Spotify globally
- Defining data models that serve as interfaces to financial domains for the rest of the company
- Leveraging mentorship and constructive feedback to drive accountability and growth within the team

The ideal candidate should have:
- Experience with Data Processing Frameworks like Flink, Beam, Dataflow, or Spark
- Comfort with ambiguity and solving loosely defined problems
- Skills in Cloud-based Environments, preferably Google Cloud Platform
- Strong analytical and problem-solving abilities
- Knowledge of Data Modeling
- Passion for clean code and solid foundation in coding and building data pipelines
- Natural curiosity and love for exploring and understanding data
- Comfort working with large datasets using SQL and data analytics platforms like BigQuery
- Excellent collaboration skills and experience building relationships with diverse customers

Join Spotify's Financial Engineering team and be part of a company that's shaping the future of music streaming and digital content delivery!

Join Spotify as a Data Engineer in Financial Engineering, crafting insightful financial data products to drive global growth strategies.

Data Engineer - Financial Engineering

Spotify is a leading music streaming platform giving millions of creative artists the opportunity to live off their art and billions of fans the opportunity to enjoy and be inspired by it.

Spotify is seeking a Backend Engineer II to join their Awareness & Acquisition team. This team is responsible for building in-app experiences that encourage users to share Spotify with others, including the popular Wrapped feature and SEO initiatives. The role involves collaborating with cross-functional teams to create end-to-end features for millions of users, architecting and developing Java services, and participating in the full lifecycle of backend services.

The ideal candidate will have strong object-oriented programming skills, experience with cloud-native software, and a collaborative mindset. They will work on exciting projects like Daylist and new voting features for award shows. The position offers the opportunity to drive technical initiatives and contribute to Spotify's mission of connecting artists with fans.

Spotify offers a flexible work environment, allowing employees to work from various locations in North America or remotely. The company provides competitive compensation, including equity, and a comprehensive benefits package. This is an excellent opportunity for a mid-level engineer looking to make a significant impact in a dynamic, music-focused tech company.

Spotify seeks a Backend Engineer II to build innovative features for millions of users, offering competitive pay and benefits in a flexible work environment.

Backend Engineer II

Spotify is the world's most popular audio streaming subscription service, transforming music listening since 2008.

Spotify, the world's leading audio streaming platform, is seeking a Backend Engineer to join their Advertising Product & Technology team. This role offers an exciting opportunity to work on scaling Spotify's Free Product and Podcast Monetization Mission, impacting hundreds of millions of fans and thousands of advertisers.

As a Backend Engineer, you'll be at the forefront of building a next-generation advertising platform, working on product features, advertiser publishing tools, and insights and reporting functionalities. You'll collaborate with cross-functional teams to develop complex technical solutions for podcast and ad services technology platforms.

Key responsibilities include designing scalable backend systems and APIs, architecting and developing Java services for millions of users, and working with data processing frameworks like Scio, Storm, Spark, and Google Cloud Platform. You'll be a technical leader in an agile team, contributing to Spotify's backend developer community and driving architecture across the company.

The ideal candidate has 4+ years of experience as a Backend Engineer, proficiency in Java, and a track record of working with stakeholders to develop APIs and systems. You should have experience with distributed, high-volume services and an interest in big data processing. A deep understanding of system design, data structures, and algorithms is essential, along with a commitment to shipping high-quality code.

Spotify offers a competitive salary range of $122,716 - $175,308, plus equity. Benefits include health insurance, six months paid parental leave, a 401(k) plan, monthly meal allowance, and generous paid time off. The role is remote-friendly within the North America region, operating in the Eastern Standard time zone.

Join Spotify and be part of a diverse, inclusive workplace that values creativity and innovation. Help revolutionize the way the world listens to music and podcasts while working with cutting-edge technologies in a dynamic, fast-paced environment.

Spotify seeks a Backend Engineer for its Advertising team to build scalable systems impacting millions of users. 4+ years experience required.

Spotify Mid-Level Software Engineer Software Engineering Jobs

Find Spotify Mid-Level Software Engineer software engineering jobs